Performance Measurement
KPI frameworks, productivity logic, baseline design, cohort comparisons, and methodology that can be explained under review.
Jack Woollams | QLD, Australia
KPI Governance | Reporting Assurance | Executive Decision Support
I build reporting frameworks, governance controls, and decision-ready insights that help leaders understand performance, risk, delivery, and improvement priorities.
Public summary
Data and reporting lead with experience building KPI frameworks, reporting controls, executive insights, and assurance processes across high scrutiny service environments.
2,500+ person division supported
2,200 sampled contacts reviewed
2,200 staff productivity measurement coverage
30+ hours saved per week through automation
Zero errors in high scrutiny reporting outputs
What I do
KPI frameworks, productivity logic, baseline design, cohort comparisons, and methodology that can be explained under review.
Validation rules, reconciliations, exception handling, sign-off practices, and output review for high confidence reporting.
Metric dictionaries, Confluence source-of-truth pages, change logs, ownership models, and repeatable controls.
Clear reporting packs and insights that help senior leaders understand performance, risk, delivery, and improvement priorities.
Hands-on delivery across SAS, SQL, Snowflake, Salesforce/PACE, Power Query, Power Automate, Python, Power BI, and Confluence.
Analyst coordination, stakeholder explanation, delivery prioritisation, and practical translation between operations and data teams.
Featured demos
Explore how a synthetic metric becomes defensible through ownership, definition, validation, documentation, and escalation controls.
Open demoStep through a synthetic contact review workflow from purpose and sample design to QA alignment, friction themes, executive insights, and improvement priorities.
Open demoReview a synthetic reporting pack before publication using validation, reconciliation, ownership, timing, sign-off, and peer review controls.
Open demoFeatured case studies
How I work
I keep methodology, assumptions, limitations, and controls visible so reporting can be defended when stakes are high.
I focus on definitions, source behaviour, exceptions, and repeatability before treating a chart as the answer.
I document decisions, define ownership, and build review paths so teams can maintain the work after delivery.